What is a recommended approach for implementing threat hunting in Azure Sentinel?

The recommended approach for implementing threat hunting in Azure Sentinel focuses on creating custom KQL (Kusto Query Language) queries to search for specific threats. This method is effective because it allows security analysts to dive deeper into the data collected by Azure Sentinel, enabling them to identify anomalies or suspicious activities that may not be covered by standard queries or built-in threat intelligence feeds.

Custom KQL queries empower analysts to tailor their search based on the specific environment, threat landscape, and unique indicators of compromise (IOCs) relevant to their organization. By employing these targeted searches, organizations can discover novel threats and gain more precise insights into potential security incidents, enhancing their overall security posture.

This hands-on approach to threat hunting encourages proactive measures rather than solely relying on static feeds or pre-built reports. It fosters a culture of continuous monitoring and adaptive security techniques, which are critical in today’s rapidly evolving threat environment.